Triple

T1602636
Position Surface form Disambiguated ID Type / Status
Subject Goole E34428 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Howden
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
E181368 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Howden | Statement: [Goole, hasNeighbouringSettlement, Howden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howden
Context triple: [Goole, hasNeighbouringSettlement, Howden]
  • A. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • B. Gifford
    Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
  • C. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Howden
Triple: [Goole, hasNeighbouringSettlement, Howden]
Generated description
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howden
Target entity description: Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • A. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • B. Gifford
    Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
  • C. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62292d1c819080b597199dc6b8d5 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46ad15b081908b59df18224c7a8f completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4740c2788190a7ce80cb978a0b19 completed March 8, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad47bb63248190ba240c004b434686 completed March 8, 2026, 9:56 a.m.
Created at: March 4, 2026, 7:28 p.m.